DocumentCode :
2334415
Title :
Multi-sensor optimal robust information fusion for uncertain systems with colored noises
Author :
Mei, Zhang ; Peng, Cui
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
1220
Lastpage :
1224
Abstract :
A problem of multi-sensor robust information fusion for uncertain systems with colored noises is investigated. A new multi-sensor optimal information fusion steady-state robust filter weighted by matrix and scalars with uncertain parameters is given using robust filter theory based on linear least variance information fusion criterion. Compared with existing filter, the proposed robust steady-state filter considers the perturbation factor in the solution to the weighting matrices, the optimal parameter and the filter. Simulation example shows the effectiveness of the proposed method.
Keywords :
filtering theory; sensor fusion; uncertain systems; colored noises; linear least variance information fusion; multisensor optimal robust information fusion; perturbation factor; steady-state robust filter; uncertain system; Colored noise; Control systems; Filtering theory; Information filtering; Information filters; Noise robustness; Robust control; Steady-state; Uncertain systems; White noise; Colored noises; Multi - sensor information fusion; Robust state filter; Uncertain system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138396
Filename :
5138396
Link To Document :
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